Triple
T23239740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayes Business School |
E581403
|
entity |
| Predicate | campus |
P269
|
FINISHED |
| Object | Northampton Square |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Northampton Square | Statement: [Bayes Business School, campus, Northampton Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northampton Square Context triple: [Bayes Business School, campus, Northampton Square]
-
A.
Northampton Square
chosen
Northampton Square is the central campus site of City, University of London, housing many of its key academic buildings and facilities.
-
B.
Norfolk Square
Norfolk Square is a central public square and gathering place in the town of Glossop in Derbyshire, England.
-
C.
Havelock Square
Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
-
D.
Pemberton Square
Pemberton Square is a historic civic space in downtown Boston, Massachusetts, known for housing important judicial and governmental buildings.
-
E.
Forster Square
Forster Square is a public square and transport hub in central Bradford, West Yorkshire, known for its adjacent railway station and nearby shopping and commercial developments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ecc7e481908cac59df5c0deea1 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.